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1H-NMR, 1H-NMR T2-edited, and 2D-NMR in bipolar disorder metabolic profiling

Overview of attention for article published in International Journal of Bipolar Disorders, June 2017
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39 Mendeley
Title
1H-NMR, 1H-NMR T2-edited, and 2D-NMR in bipolar disorder metabolic profiling
Published in
International Journal of Bipolar Disorders, June 2017
DOI 10.1186/s40345-017-0088-2
Pubmed ID
Authors

Sumit Sethi, Mariana Pedrini, Lucas B. Rizzo, Maiara Zeni-Graiff, Caroline Dal Mas, Ana Cláudia Cassinelli, Mariane N. Noto, Elson Asevedo, Quirino Cordeiro, João G. M. Pontes, Antonio J. M. Brasil, Acioly Lacerda, Mirian A. F. Hayashi, Ronei Poppi, Ljubica Tasic, Elisa Brietzke

Abstract

The objective of this study was to identify molecular alterations in the human blood serum related to bipolar disorder, using nuclear magnetic resonance (NMR) spectroscopy and chemometrics. Metabolomic profiling, employing (1)H-NMR, (1)H-NMR T2-edited, and 2D-NMR spectroscopy and chemometrics of human blood serum samples from patients with bipolar disorder (n = 26) compared with healthy volunteers (n = 50) was performed. The investigated groups presented distinct metabolic profiles, in which the main differential metabolites found in the serum sample of bipolar disorder patients compared with those from controls were lipids, lipid metabolism-related molecules (choline, myo-inositol), and some amino acids (N-acetyl-L-phenyl alanine, N-acetyl-L-aspartyl-L-glutamic acid, L-glutamine). In addition, amygdalin, α-ketoglutaric acid, and lipoamide, among other compounds, were also present or were significantly altered in the serum of bipolar disorder patients. The data presented herein suggest that some of these metabolites differentially distributed between the groups studied may be directly related to the bipolar disorder pathophysiology. The strategy employed here showed significant potential for exploring pathophysiological features and molecular pathways involved in bipolar disorder. Thus, our findings may contribute to pave the way for future studies aiming at identifying important potential biomarkers for bipolar disorder diagnosis or progression follow-up.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 21%
Student > Ph. D. Student 7 18%
Researcher 5 13%
Student > Master 5 13%
Student > Doctoral Student 3 8%
Other 1 3%
Unknown 10 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 13%
Medicine and Dentistry 5 13%
Neuroscience 5 13%
Immunology and Microbiology 2 5%
Chemistry 2 5%
Other 6 15%
Unknown 14 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2017.
All research outputs
#13,481,383
of 22,977,819 outputs
Outputs from International Journal of Bipolar Disorders
#181
of 285 outputs
Outputs of similar age
#160,353
of 317,342 outputs
Outputs of similar age from International Journal of Bipolar Disorders
#9
of 13 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,342 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.